TMCS: Automated Highway Incident Detection with PTZ Cameras
Built against NHAI's 2023 ATMS Standards: multi-vendor ONVIF PTZ cameras, dual-model TensorRT inference, occlusion-resilient ByteTrack, 7 incident rules, and SHA-256 evidence integrity.
Deep technical breakdowns on Production Computer Vision, Agentic AI, RAG Pipelines, Embedded IoT, and Local-First Engineering.
Built against NHAI's 2023 ATMS Standards: multi-vendor ONVIF PTZ cameras, dual-model TensorRT inference, occlusion-resilient ByteTrack, 7 incident rules, and SHA-256 evidence integrity.
12 minEngineering a local-first CV dataset development platform: YOLO-assisted auto-annotation, bbox and polygon segmentation, dataset health QA, and in-browser model training with live SSE logs.
How I built an offline-first typing trainer in Python and JavaScript with 10-agent deterministic AI, sub-millisecond telemetry, Web Audio DSP synthesis, and an 18 MB standalone binary.
Architecting a production-grade, event-driven AI platform for real-time anomaly validation and autonomous agentic incident investigations using six specialized AI personas.
How we engineered a Multi-Agent Decision Intelligence Platform using Gemini 2.5 and Vertex AI to transform fragmented municipal data into actionable policy with full explainability.
Building an intelligent, image-based vehicle matching platform using YOLOv5 and OSNet-AIN with zero database dependencies and sub-10ms FAISS IVF-PQ search at 150K+ queries/sec.
Architecting hybrid retrieval with FAISS + BM25 + Reciprocal Rank Fusion (RRF), knowledge graph exploration, and production-grade streaming Q&A with Ollama local models.
How we architected a real-time Highway Traffic Management System at Arya Omnitalk — detecting accidents in milliseconds while processing 50,000+ daily events across 120+ cameras.
Predictive soil analytics and edge ML models saving 30% water in agricultural deployments. The foundational architecture behind our SIH winning JalTantra system.
Leading Team Technocrats to the National Championship under the Ministry of Jal Shakti with JalTantra. Strategy, execution, and 36-hour rapid hardware iteration.
Role-based access control, JWT authentication, and high-performance database schema across 164+ commits and 4 comprehensive user dashboards.
Detecting early burnout signals from free-form text using NLP sentiment analysis and micro-anomaly detection built during my internship at IBM India.
Automating electronic waste tracking with smart load cells, ultrasonic fill-level sensors, and MQTT pipelines connected to cloud dashboards.
Multi-object detection and tracking from live video streams. Frame rate optimization, non-maximum suppression, and bounding box pipelines.
Designing an autonomous robot using Arduino Mega, a 5-channel IR sensor array, and high-speed interrupt-driven motor PID loops.
A rigorous technical breakdown of Self-Attention, Multi-Head Projections, Positional Encodings, and why "Attention is All You Need" changed AI forever.
State-machine driven cyclical graphs, human-in-the-loop validation, and memory persistence in production agentic workflows.
Chunking strategies, reciprocal rank fusion, cross-encoder re-ranking, and context compression for zero-hallucination document intelligence.
From Small Language Models (SLMs) running locally on device to autonomous multi-agent swarms and continuous active learning loops.
Comparing throughput, payload overhead, reliability guarantees, and battery consumption for edge computing and industrial sensors.
Performance benchmarks, memory safety guarantees, and ecosystem maturity of the three languages competing to power next-generation AI infrastructure.
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